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--- |
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language: |
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- ga |
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- en |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- ymoslem/IWSLT2023-GA-EN |
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- ymoslem/FLEURS-GA-EN |
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- ymoslem/BitesizeIrish-GA-EN |
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- ymoslem/SpokenWords-GA-EN-MTed |
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- ymoslem/Tatoeba-Speech-Irish |
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- ymoslem/Wikimedia-Speech-Irish |
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metrics: |
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- bleu |
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- wer |
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model-index: |
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- name: Whisper Small GA-EN Speech Translation |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia |
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type: ymoslem/IWSLT2023-GA-EN |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 27.57 |
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- name: Wer |
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type: wer |
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value: 70.64385411976588 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper Small GA-EN Speech Translation |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co./openai/whisper-small) on the IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia dataset. |
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The best model checkpoint (this version) based on ChrF is at step 2500, epoch 1.64, and it achieves the following results on the evaluation set: |
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- Loss: 1.1898 |
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- Bleu: 26.61 |
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- Chrf: 47.8 |
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- Wer: 71.1391 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 0.03 |
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- training_steps: 3000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Bleu | Chrf | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:-----:|:-----:|:---------------:|:--------:| |
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| 2.6685 | 0.07 | 100 | 5.05 | 20.18 | 2.0544 | 139.8919 | |
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| 2.4028 | 0.13 | 200 | 12.29 | 29.72 | 1.7367 | 95.5425 | |
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| 2.1231 | 0.2 | 300 | 14.33 | 30.77 | 1.6141 | 101.3958 | |
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| 1.9192 | 0.26 | 400 | 16.86 | 35.65 | 1.4778 | 91.0851 | |
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| 1.7129 | 0.33 | 500 | 16.77 | 37.53 | 1.3811 | 93.8766 | |
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| 1.5398 | 0.39 | 600 | 18.85 | 39.0 | 1.3427 | 90.2296 | |
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| 1.4257 | 0.46 | 700 | 25.73 | 43.3 | 1.2784 | 70.3287 | |
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| 1.3044 | 0.53 | 800 | 25.43 | 44.33 | 1.2274 | 72.3548 | |
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| 1.2626 | 0.59 | 900 | 25.09 | 44.62 | 1.1875 | 72.6249 | |
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| 1.2801 | 0.66 | 1000 | 25.68 | 45.53 | 1.1571 | 71.0491 | |
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| 1.2876 | 0.72 | 1100 | 20.62 | 41.49 | 1.2193 | 85.8622 | |
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| 1.2609 | 0.79 | 1200 | 29.47 | 45.04 | 1.2079 | 65.2859 | |
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| 1.187 | 0.85 | 1300 | 24.65 | 43.73 | 1.2086 | 72.9851 | |
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| 1.0342 | 0.92 | 1400 | 30.34 | 47.62 | 1.1766 | 64.3854 | |
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| 1.0519 | 0.98 | 1500 | 29.39 | 47.69 | 1.1425 | 64.9707 | |
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| 0.5473 | 1.05 | 1600 | 28.02 | 46.27 | 1.1842 | 67.6722 | |
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| 0.4886 | 1.12 | 1700 | 26.62 | 46.37 | 1.1845 | 76.4971 | |
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| 0.4354 | 1.18 | 1800 | 23.63 | 45.16 | 1.1621 | 86.1324 | |
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| 0.4709 | 1.25 | 1900 | 27.86 | 47.3 | 1.1544 | 73.7506 | |
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| 0.4802 | 1.31 | 2000 | 30.25 | 48.12 | 1.1571 | 64.9707 | |
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| 0.4565 | 1.38 | 2100 | 24.75 | 44.7 | 1.2095 | 77.4426 | |
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| 0.4797 | 1.44 | 2200 | 28.46 | 46.03 | 1.2051 | 67.1769 | |
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| 0.423 | 1.51 | 2300 | 28.34 | 47.65 | 1.2079 | 68.6177 | |
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| 0.4254 | 1.58 | 2400 | 27.78 | 46.01 | 1.2251 | 67.8523 | |
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| 0.4493 | 1.64 | 2500 | 26.61 | 47.8 | 1.1898 | 71.1391 | |
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| 0.3614 | 1.71 | 2600 | 30.08 | 47.25 | 1.2079 | 64.2954 | |
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| 0.4052 | 1.77 | 2700 | 30.88 | 47.44 | 1.1975 | 64.2053 | |
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| 0.3541 | 1.84 | 2800 | 28.4 | 46.02 | 1.2006 | 70.2837 | |
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| 0.3736 | 1.9 | 2900 | 30.82 | 47.52 | 1.1906 | 64.1153 | |
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| 0.3326 | 1.97 | 3000 | 27.57 | 46.72 | 1.1870 | 70.6439 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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